Welcome to talentedge – Where Data Meets Innovation
talentedge is a global leader in e‑commerce and digital experiences, empowering millions of shoppers every day with fast, reliable, and personalized services. Our success is built on a relentless commitment to data‑driven decision making, cutting‑edge cloud technologies, and a culture that celebrates curiosity, collaboration, and continuous learning. As we expand our data platform to support ever‑growing traffic and new product experiences, we are looking for a passionate, technically brilliant, and forward‑thinking engineer to join our Information Foundation and Information Enablement team.
Why This Role Is a Game‑Changer
At talentedge, data is the lifeblood of every product, feature, and customer interaction. This position offers you the rare opportunity to design, build, and operate massive, highly available data pipelines that power real‑time analytics, machine‑learning models, and business intelligence across the entire organization. You will work directly with senior engineers, product owners, and data scientists, shaping the future of our cloud‑native data ecosystem while enjoying the flexibility of a fully remote work environment and a competitive hourly rate of $30.
Role Overview
As a Senior Cloud Data Platform Engineer, you will be the technical champion for talentedge’s data infrastructure. You will lead the design and implementation of scalable, fault‑tolerant data services, mentor a team of engineers, and ensure that our data platforms meet the highest standards of performance, security, and reliability.
Key Responsibilities
- Architect & Build Scalable Data Systems: Design and develop production‑grade data pipelines using technologies such as CloudSQL, Firestore, Spanner, BigQuery, Kafka, Pub/Sub, Dataflow, and Dataproc.
- Write Clean, Reusable Code: Produce high‑quality, well‑documented code in Python, Go, Terraform, and Packer with a focus on reusability and maintainability.
- Technical Leadership: Serve as a hands‑on mentor for a team of 6‑8 engineers, providing architectural guidance, code reviews, and best‑practice recommendations.
- Problem Solving at Scale: Act as the go‑to expert for the most complex production incidents, driving root‑cause analysis and long‑term remediation.
- Documentation & Standards: Create and maintain comprehensive technical documentation, design patterns, and operational runbooks.
- Implement SRE Practices: Define and enforce service‑level objectives (SLOs), error‑budget policies, and reliability engineering standards across data services.
- Collaborate with Cross‑Functional Teams: Partner with data scientists, product managers, and analytics engineers to translate business requirements into robust data solutions.
- Cloud Migration & Modernization: Lead initiatives to migrate legacy on‑premise data workloads to the cloud, ensuring minimal disruption and optimal performance.
- Performance Optimization: Continuously monitor, benchmark, and tune data pipelines for latency, throughput, and cost efficiency.
- Mentorship & Knowledge Sharing: Conduct brown‑bag sessions, technical workshops, and contribute to internal knowledge bases.
Essential Qualifications
- 5+ years of hands‑on experience designing, building, and operating large‑scale data platforms in a cloud environment (GCP, AWS, or Azure).
- Deep expertise with distributed streaming systems such as Kafka, Pub/Sub, and Dataflow.
- Proven track record with cloud‑native databases and storage solutions (CloudSQL, Spanner, Firestore, BigQuery, DynamoDB, etc.).
- Strong programming skills in Python, Go, or Java, and infrastructure‑as‑code experience with Terraform, Packer, or CloudFormation.
- Solid understanding of SRE principles, including monitoring, alerting, incident response, and capacity planning.
- Experience working in an Agile, cross‑functional environment with strong collaboration and communication skills.
- Demonstrated ability to lead technical discussions, mentor junior engineers, and influence architectural decisions.
Preferred Qualifications
- Experience with data‑lake architectures, ETL/ELT frameworks, and real‑time analytics pipelines.
- Knowledge of machine‑learning pipelines and model serving infrastructure.
- Certifications in GCP (Professional Data Engineer) or AWS (Big Data Specialty).
- Familiarity with container orchestration (Kubernetes) and CI/CD tooling (GitHub Actions, Jenkins, Spinnaker).
- Background in e‑commerce or consumer‑facing platforms, understanding of high‑volume transaction processing.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex data problems and devise elegant, scalable solutions.
- Leadership & Influence: Comfortable guiding teams without direct authority, fostering a culture of ownership.
- Communication: Translate technical concepts into clear, actionable language for both technical and non‑technical stakeholders.
- Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.
- Customer‑Centric Thinking: Recognize how data infrastructure impacts end‑user experiences and business outcomes.
Career Growth & Learning Opportunities
talentedge invests heavily in the professional development of its engineers. In this role, you will have access to:
- Annual learning stipend for conferences, certifications, or advanced coursework.
- Mentorship programs pairing you with senior architects and data science leaders.
- Opportunities to lead high‑visibility, company‑wide data initiatives.
- Rotational programs that let you explore adjacent domains such as machine learning operations (MLOps) or product analytics.
- Regular hackathons and innovation days to prototype cutting‑edge ideas.
Work Environment & Culture at talentedge
Our remote‑first philosophy means you can work from anywhere in the world while staying deeply connected to a vibrant, inclusive community. talentedge’s culture is built on:
- Transparency: Open communication channels, regular all‑hands updates, and clear roadmaps.
- Collaboration: Cross‑functional squads, shared code reviews, and pair‑programming sessions.
- Innovation: A “fail fast, learn faster” mindset that encourages experimentation.
- Diversity & Inclusion: Active employee resource groups, inclusive hiring practices, and a commitment to equitable growth.
- Work‑Life Balance: Flexible hours, generous PTO, and mental‑health resources.
Compensation, Perks & Benefits
talentedge offers a competitive compensation package that reflects your expertise and impact:
- Hourly rate of $30, with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage.
- 401(k) matching and financial wellness programs.
- Remote‑work allowance for home office setup.
- Paid parental leave, adoption assistance, and family‑friendly policies.
- Employee assistance program, counseling services, and wellness stipends.
- Access to cutting‑edge cloud resources and sandbox environments for experimentation.
How to Apply
If you are a motivated engineer who thrives on building world‑class data platforms and wants to make a tangible impact at a fast‑growing, data‑centric organization, we want to hear from you. Please submit your resume, a brief cover letter highlighting relevant projects, and any links to open‑source contributions or technical blogs.
Ready to Join talentedge?
Take the next step in your career and become a cornerstone of talentedge’s data future. Click the button below to start your application journey.
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Conclusion
talentedge is more than a workplace; it’s a community of innovators who turn data into delightful experiences for millions of customers worldwide. By joining our team, you will not only advance your technical expertise but also help shape the strategic direction of a market‑leading e‑commerce platform. Don’t miss this chance to grow, lead, and make a lasting impact. Apply today and embark on a rewarding journey with talentedge!
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